ERIC Number: ED204392
Record Type: RIE
Publication Date: 1981-Apr
Reference Count: 0
Is Causal Modeling Really Helpful?
Wolfle, Lee M.
Hierarchial causal models are described as pictorial representations of multiple regression equations. These models are particularly helpful for three reasons: (1) the formulation of problems in a path analytic framework forces a degree of explicitness that is often not present in research reports that rely solely on regression; (2) they provide a powerful aid to the substantive interpretation of results; and (3) they aid in the interpretation of relationships between unmeasured variables. Though causal modeling techniques are very powerful, important prerequisites are a thorough knowledge of one's subject matter and a stylish appreciation of alternative explanations. (BW)
Publication Type: Speeches/Meeting Papers; Opinion Papers
Education Level: N/A
Authoring Institution: N/A
Identifiers: Causal Models
Note: Paper presented at the Annual Meeting of the American Educational Research Association (65th, Los Angeles, CA, April 13-17, 1981).